Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
RCS, SR, SRW (Joint) |
2022-03-04 14:05 |
Online |
Online |
Extraction of Features for Classification by Machine Learning of Electromagnetic Noise Corresponding to Various Manufacturing Field Environments Michio Miyamoto, Ayano Ohnishi, Yoshio Takeuchi (ATR), Toshiyuki Maeyama (ATR/Takushoku Univ.), Akio Hasegawa, Hiroyuki Yokoyama (ATR) SR2021-118 |
We extract electromagnetic noise from time-series spectrum data measured at the manufacturing site. In this case, it is ... [more] |
SR2021-118 pp.139-145 |
MBE, NC (Joint) |
2022-03-03 09:55 |
Online |
Online |
Observation for symptom of dementia based on features of Pupil light reflex and participant's age Minoru Nakayama (Tokyo Tech.), Wioletta Nowak, Anna Zarowska (Wroclaw Univ. S&T) MBE2021-93 |
Pupil light reflex (PLR) were observed for elder subjects in order to examine an influence of stage of dimentia which wa... [more] |
MBE2021-93 pp.25-30 |
EMM |
2022-01-27 14:35 |
Online |
Online |
Auditory Representation of Speech Signals Using a Matching Pursuit Algorithm and Sparse Coding Dung Kim Tran, Masashi Unoki (JAIST) EMM2021-87 |
Speech signals are the natural carrier of information such as linguistic, speaker individuality, and emotions, etc. Ther... [more] |
EMM2021-87 pp.19-24 |
SANE |
2021-08-27 11:05 |
Online |
Online |
Satellite Data Fusion for damage assessment and analysis of the significant features Gunjan Joshi, Ryo Natsuaki, Akira Hirose (UT) SANE2021-29 |
Lately, the resolution and detection capabilities of remote sensing satellites specifically, synthetic aperture radars (... [more] |
SANE2021-29 pp.37-42 |
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] |
2021-06-29 13:55 |
Online |
Online |
Proposal of an Analysis Method for fNIRS Using Machine Learning Reiji Ohkuma, Yuto Kurihara, Rieko Osu (Waseda Univ.) NC2021-13 IBISML2021-13 |
Conventional analysis methods for fNIRS require a large number of parameters in preprocessing, and the analysis results ... [more] |
NC2021-13 IBISML2021-13 pp.91-96 |
IA, ICSS |
2021-06-22 09:00 |
Online |
Online |
Feature analysis of phishing website and phishing detection based on machine learning algorithms Yi Wei, Yuji Sekiya (Todai) IA2021-9 ICSS2021-9 |
Phishing is a kind of cybercrime that uses disguised websites to trick people into providing personally sensitive inform... [more] |
IA2021-9 ICSS2021-9 pp.44-49 |
MI |
2021-03-15 14:00 |
Online |
Online |
Analysis of important features in surgical planning for mandibular reconstruction among multiple surgeons Yusuke Hatakeyama, Kazuki Nagai, Megumi Nakao, Tetsuya Matsuda (Kyoto Univ.) MI2020-55 |
Surgeons perform surgical treatment by considering the facilities and policies of medical institutions and their own exp... [more] |
MI2020-55 pp.35-40 |
IN, NS (Joint) |
2021-03-05 11:00 |
Online |
Online |
A Model Selection Optimization Method for Distributed Machine Learning with Feature Model Combination Ryuichi Mochizuki, Takeshi Tsuchiya, Hiroo Hirose, Tetsuyasu Yamada (SUS) IN2020-83 |
This study clarifies the optimal feature model selection method in data analysis under the environment where the feature... [more] |
IN2020-83 pp.172-177 |
IBISML |
2021-03-02 10:50 |
Online |
Online |
Kernel tensor decomposition based unsupervised feature extraction
-- Applications to bioinformatics -- Y-h. Taguchi (Chuo Univ.) IBISML2020-36 |
A lot of research has been done on the so-called textit{large p small n} problem, where the number of samples is small c... [more] |
IBISML2020-36 pp.16-23 |
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] |
2021-02-18 15:40 |
Online |
Online |
Texture Analysis and Evaluation of the Shitsukan Research Database Based on Luminance Information Norifumi Kawabata (Tokyo Univ. of Science) |
One of texture component on objects and graphics is luminance. By strength of luminance, human visual perception for cla... [more] |
|
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] |
2021-02-18 16:15 |
Online |
Online |
A Note on Cross-domain Recommendation Based on Multilayer Graph Analysis with Visual Features Taisei Hirakawa, Keisuke Maeda, Takahiro Ogawa (Hokkaido Univ.), Satoshi Asamizu (NIT, Kushiro College), Miki Haseyama (Hokkaido Univ.) |
In this paper, we improve the accuracy of cross-domain recommendation methods, which have been recently studied as a sol... [more] |
|
AI |
2020-12-10 14:20 |
Shizuoka |
Online and HAMAMATSU ACT CITY (Primary: On-site, Secondary: Online) |
Slide Design Assessment Featuring Visual and Structural Analysis Shengzhou Yi (UTokyo), Junichiro Matsugami (Rubato), Xueting Wang, Toshihiko Yamasaki (UTokyo) AI2020-3 |
Appealing design of presentation slides is a great way to make the presentation more attractive and easier to understand... [more] |
AI2020-3 pp.13-18 |
MBE, NC, NLP, CAS (Joint) [detail] |
2020-10-30 09:25 |
Online |
Online |
Analysis of simple cellular automata for music signal generation Hotaka Udagawa, Toshimichi Saito (HU) CAS2020-12 NLP2020-33 |
The elementary cellular automata (ECAs) are a digital dynamical system in which time, space and states are all discrete.... [more] |
CAS2020-12 NLP2020-33 pp.5-8 |
SIS, ITE-BCT |
2020-10-02 11:00 |
Online |
Online |
Future analysis of footstep waveforms and spectrogram using convolutional neural network Yoshiki Goto, Akitoshi Itai (Chubu Univ.) SIS2020-25 |
It is known that the footstep includes personal characteristics. We often recognize a person from walking footsteps in l... [more] |
SIS2020-25 pp.75-80 |
PRMU |
2020-09-02 10:00 |
Online |
Online |
A method for clarifying differences between feature distributions of various solutions about topic model Toshio Uchiyama, Tsukasa Hokimoto (HIU) PRMU2020-8 |
Probabilistic Latent Semantic Analysis and Latent Dirichlet analysis are
known as topic models to analyze text data an... [more] |
PRMU2020-8 pp.1-6 |
NC, MBE (Joint) |
2020-03-06 14:15 |
Tokyo |
University of Electro Communications (Cancelled but technical report was issued) |
Identification of pick and grasp manipulation based on fingertip force and velocity Tatsuya Yamashita, Megumi Nakao, Tetsuya Matsuda (Kyoto Univ.) MBE2019-98 |
Finger manipulation plays an important role in daily life, and the importance of its analysis is increasing in a variety... [more] |
MBE2019-98 pp.91-96 |
SP, EA, SIP |
2020-03-03 09:00 |
Okinawa |
Okinawa Industry Support Center (Cancelled but technical report was issued) |
[Poster Presentation]
Implementation of a high-accuracy method for automatic fluency scoring of spontaneous English utterances by Japanese learners Ayano Yasukagawa, Shintaro Ando, Eisuke Konno, Zhenchao Lin, Yusuke Inoue, Daisuke Saito, Nobuaki Minematsu (UTokyo), Kazuya Saito (UCL) EA2019-134 SIP2019-136 SP2019-83 |
These days, many teachers claim importance of not native-likeness-based but intelligibility-based assessment of pronunci... [more] |
EA2019-134 SIP2019-136 SP2019-83 pp.189-194 |
SP, EA, SIP |
2020-03-03 09:00 |
Okinawa |
Okinawa Industry Support Center (Cancelled but technical report was issued) |
[Poster Presentation]
Initial analysis of oral reading skills obtained from large scale subjective evaluation Takuya Ozuru (Univ. of Tokyo), Yusuke Ijima (NTT), Daisuke Saito, Nobuaki Minematsu (Univ. of Tokyo) EA2019-135 SIP2019-137 SP2019-84 |
Speech of professional newscasters easily suggest us his/her occupation, that is newscaster. So far, we have analyzed pr... [more] |
EA2019-135 SIP2019-137 SP2019-84 pp.195-200 |
SeMI |
2020-01-31 09:25 |
Kagawa |
|
Initial Evaluation of a Compressive Measurement-Based Acoustic Vehicle Detection and Identification System Billy Dawton, Shigemi Ishida, Yuki Hori, Masato Uchino, Yutaka Arakawa, Akira Fukuda (Kyushu Univ.) SeMI2019-116 |
As society becomes increasingly interconnected, the need for sophisticated signal processing and data analysis technique... [more] |
SeMI2019-116 pp.69-74 |
MI |
2020-01-30 15:10 |
Okinawa |
OKINAWAKEN SEINENKAIKAN |
Exploration of image features associated with ruptures of intracranial aneurysms using magnetic resonance angiography Masayuki Yamanouchi (KMH), Hidetaka Arimura (Kyushu Univ.) MI2019-120 |
Ruptures of intracranial aneurysms are serious conditions resulting in subarachnoid hemorrhage. We hypothesized that the... [more] |
MI2019-120 pp.235-236 |